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Quantitative Investment Analyst

2 months ago

New York, United States Bank of America Full time

Job Description: Quantitative Investment Analyst from the Company Bank of America, located in New York, NY, United States. Job Responsibility:

Assists more senior analysts in assembling and reviewing data, conducting statistical analyses, and building and refining econometric and quantitative models. Developing the knowledge and skills necessary for investment analysis and research. Works under the direct supervision of management. Up to 2 yrs of research experience. Typically entry level research position for BAs or MBAs without relevant work experience. Differs from fixed income assistant because incumbent is on a research analyst career path. As part of the Chief Investment Office (CIO) Portfolio Management team, the Quantitative Analyst is responsible for automating and enhancing processes via programming and analytical tools. Working with the team, the Quantitative Analyst will support production of performance and trade analysis, commentary collateral for the CIO's centrally-managed portfolios, and other ad hoc projects. Create and enhance automated processes by using programming languages and analytical tools, such as enhancement of existing trade process management and trading platforms using Excel VBA Create efficient automation processes that can be managed by others in the team. Properly document code, provide instructions, and train other associates to take over once the project once completed Extract large data sets from a variety of data sources including SQL database, FactSet, Morningstar, or Bloomberg to then process and manipulate for further analysis while assuring data quality Leverage strong coding skills (e.g. Python/R) for investment analysis, data visualization, modeling, and creating user friendly tools and dashboards Gather data and perform analytics as needed (investment analysis, portfolio analysis, ad hoc requests) Manage discrete components of collateral activities Knowledge of relevant quantitative methods, performance attribution, and portfolio construction Knowledge of markets and CIO views and portfolio implications Expand knowledge of quantitative analysis, portfolio construction and markets Conduct/participate in meetings with internal Compliance and Marketing partners Provide effective project management and leadership for all collateral production (ad hoc, monthly, quarterly frequencies) Qualifications: 2-5 years of applicable working experience and a Bachelor's degree preferably in technical degrees, such as Computer Science, Engineering, Statistics, or Math Proficient in Excel VBA, working knowledge of Python/R/SQL Strong knowledge and coding experience in Excel VBA, Python, and/or MATLAB preferred Experience in manipulating large data sets, data analysis, implementing analytical methods such as single and multi-factor regression CFA or progress towards a CFA is a plus Series 7 and 66 or the ability to gain license within 120 days is required Excellent communications, writing and editing capabilities Project leadership skills, including a demonstrated ability to lead multi-functional project teams to drive to concrete results and actions Proven effectiveness in fast-paced environment; ability to manage within tight deadlines Ability to manage multiple projects concurrently Develop strong, effective relationships with key business partners Superior organizational skills, creativity, and attention to detail Excellent interpersonal skills; strong relationship building Skill in developing new ideas and new approaches to old ideas Professional maturity to effectively interface with senior management High proficiency in Microsoft Office Suites, including PowerPoint; other desktop skills or willingness to learn preferred Skills: Familiarity with Investments including ETFs and Mutual Funds Working knowledge of MS Office (advanced Excel skills preferred), Bloomberg, Morningstar and/or FactSet, MPI Stylus Skilled in Performance Reporting and Attribution Strong interpersonal skills Attention to Detail Active Listening Causation Analysis Collaboration Investment Management Business Analytics Data Governance Data Quality Management Presentation Skills Written Communications Adaptability Critical Thinking Innovative Thinking Research Minimum Education Requirement:

Bachelor's degree preferably in technical degrees, such as Computer Science, Engineering, Statistics, or Math Shift:

1st shift (United States of America) Hours Per Week:

40

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